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List, Johann-Mattis, Vylomova, Ekaterina, Forkel, Robert, Hill, Nathan W. and Cotterell, Ryan D. (2022) 'The SIGTYP 2022 Shared Task on the Prediction of Cognate Reflexes.' Proceedings of the 4th Workshop on Computational Typology and Multilingual NLP (SIGTYP 2022). pp. 52-62.

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Abstract

This study describes the structure and the results of the SIGTYP 2022 shared task on the prediction of cognate reflexes from multilingual wordlists. We asked participants to submit systems that would predict words in individual languages with the help of cognate words from related languages. Training and surprise data were based on standardized multilingual wordlists from several language families. Four teams submitted a total of eight systems, including both neural and non-neural systems, as well as systems adjusted to the task and systems using more general settings. While all systems showed a rather promising performance, reflecting the overwhelming regularity of sound change, the best performance throughout was achieved by a system based on convolutional networks originally designed for image restoration.

Item Type: Journal Article
Additional Information: ISBN: 9781955917933
SOAS Departments & Centres: Departments and Subunits > Department of East Asian Languages & Cultures
Copyright Statement: ACL materials are Copyright © 1963–2022 ACL; other materials are copyrighted by their respective copyright holders. Materials prior to 2016 here are licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 International License. Permission is granted to make copies for the purposes of teaching and research. Materials published in or after 2016 are licensed on a Creative Commons Attribution 4.0 International License.
Date Deposited: 22 Jul 2022 12:48
URI: https://eprints.soas.ac.uk/id/eprint/37774

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